Learning Gains in Pyramid Computer-Supported Collaboration Scripts: Factors and Implications for Design

Ishari Amarasinghe, Davinia Hernández-Leo, Emily Theophilou, J. Roberto Sánchez Reina, René Alejandro Lobo Quintero

Producción científica: Libro / Capitulo del libro / InformeLibros de Investigaciónrevisión exhaustiva

8 Citas (Scopus)

Resumen

Computer-Supported Collaborative Learning (CSCL) scripts aim to structure the process of collaboration creating opportunities for productive social interaction and learning. Despite CSCL research has shown these benefits for some scripts in particular contexts, more evidence is needed about to what extent learning gains are actually achieved for more families of scripts and in different conditions of implementation. This paper studies how three CSCL scripts based on the Pyramid collaborative learning flow pattern facilitate students learning in online classes. Learning gains are measured in terms of precision and confusion assessment criteria. Students’ behaviour in the learning process, regarding agreement in the knowledge exchange, is also analysed in relation to the learning gains. Results bring out several factors, and implications for the design of fruitful Pyramid scripts implementation, that related to the pedagogical envelope, the type of tasks, pyramid design elements, the need for epistemic orchestration, and debriefing.

Idioma originalInglés
Título de la publicación alojadaCollaboration Technologies and Social Computing - 27th International Conference, CollabTech 2021, Proceedings
EditoresDavinia Hernandez-Leo, Reiko Hishiyama, Gustavo Zurita, Benjamin Weyers, Alexander Nolte, Hiroaki Ogata
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas35-50
Número de páginas16
ISBN (versión impresa)9783030850708
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento27th International Conference on Collaboration Technologies and Social Computing, CollabTech 2021 - Virtual, Online
Duración: 31 ago. 20213 sep. 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12856 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia27th International Conference on Collaboration Technologies and Social Computing, CollabTech 2021
CiudadVirtual, Online
Período31/08/213/09/21

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